·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Retro gaming is being overrun with AI1h◆Retrieval Augmented Generation Compositionality9h◆VeriEvolve: Evaluator-First Evolution for Tool-Using Agents9h◆TNODEV: Toolbox for Neural ODE Verification9h◆Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding9h◆On the Expressive Power and Limitations of Multi-Layer SSMs9h◆From Weather to Enhanced Weathering: Weather Foundation Models for Carbon Dioxide Removal at Operational Scale9h◆Predictor-Guided Latent Space Codon Optimization for Maximizing Protein Expression9h◆A Generalisation Signal Need Not Be a Model-Selection Signal9h◆Mitigating Reward Hacking in Realistic Scenarios Through Representation Engineering9h◆EgoHand: Monocular 3D Hand Reconstruction from Egocentric Video9h◆Learning to Incentivise: Using Reinforcement Learning for Sustainable Urban Mobility9h◆ChemBART: Pre-training a Reaction Language Model for Comprehensive Synthesis Planning9h◆Kernel-Managed Shared Memory for System-Wide Personalization9h◆Uber rival inDrive eyes 2027 robotaxi tests in Central Asia with Pony.ai and Nvidia9h◆Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild?9h◆AnnoCaseLaw: Legal Annotation Benchmark of Civil Negligence9h◆Improved Training of Strong Stochastic Flow Maps9h◆Think Harder Where It Matters: Item-Level Adaptive Recursion for Sequential Recommendation9h◆HyperDrone: Simulation-to-Reality Transfer at Millions of Frames per Second9h◆Retro gaming is being overrun with AI1h◆Retrieval Augmented Generation Compositionality9h◆VeriEvolve: Evaluator-First Evolution for Tool-Using Agents9h◆TNODEV: Toolbox for Neural ODE Verification9h◆Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding9h◆On the Expressive Power and Limitations of Multi-Layer SSMs9h◆From Weather to Enhanced Weathering: Weather Foundation Models for Carbon Dioxide Removal at Operational Scale9h◆Predictor-Guided Latent Space Codon Optimization for Maximizing Protein Expression9h◆A Generalisation Signal Need Not Be a Model-Selection Signal9h◆Mitigating Reward Hacking in Realistic Scenarios Through Representation Engineering9h◆EgoHand: Monocular 3D Hand Reconstruction from Egocentric Video9h◆Learning to Incentivise: Using Reinforcement Learning for Sustainable Urban Mobility9h◆ChemBART: Pre-training a Reaction Language Model for Comprehensive Synthesis Planning9h◆Kernel-Managed Shared Memory for System-Wide Personalization9h◆Uber rival inDrive eyes 2027 robotaxi tests in Central Asia with Pony.ai and Nvidia9h◆Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild?9h◆AnnoCaseLaw: Legal Annotation Benchmark of Civil Negligence9h◆Improved Training of Strong Stochastic Flow Maps9h◆Think Harder Where It Matters: Item-Level Adaptive Recursion for Sequential Recommendation9h◆HyperDrone: Simulation-to-Reality Transfer at Millions of Frames per Second9h◆
News/Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking
arxiv
PublishedApril 6, 2026 at 4:00 AM
—neutral

Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2602.16746v3 Announce Type: replace Abstract: Grokking -- the delayed transition from memorization to generalization in small algorithmic tasks -- remains poorly understood. We present a geometric analysis of optimization dynamics in transformers trained on modular arithmetic. PCA of attention

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Mentioned models
01
  • 01
    transformer
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#machine-learning#optimization#generalization

No replies yet. Be first.

Mentioned models
01
  • 01
    transformer
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#machine-learning#optimization#generalization

Related coverage

More from ARXIV
arxivRetrieval Augmented Generation Compositionality9harxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents9harxivTNODEV: Toolbox for Neural ODE Verification9harxivLearning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding9h
The Bubble Brief
MON · WED · FRI

Read machine-learning insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews